Cloud Engineer

Responsibilities

• Operate and support core Azure services (compute, storage, networking integrations, identity, logging/monitoring) to meet uptime and SLA expectations; perform root cause analysis and implement prevention/remediation.
• Troubleshoot production cloud issues, restore service, and drive operational improvements; maintain clear runbooks and problem/resolution documentation.
• Manage and improve cloud tagging, logging, alerting, and operational standards.
• Administer and evolve Azure Kubernetes Service (AKS) as a core platform: cluster lifecycle management, upgrades, configuration standards, capacity/scaling, and operational readiness.
• Partner with Application and Data Engineering teams to enable secure deployment patterns on AKS for both application and AI/agent workloads.
• Create script-level automation for cloud operations and deployments using PowerShell and/or Python.
• Troubleshoot CI/CD pipeline failures and improve release workflow reliability across Azure DevOps and GitHub Actions.
• Operate and enhance monitoring/alerting/logging standards and dashboards using Azure Monitor and Log Analytics; contribute to adoption of OpenTelemetry practices and integration with visualization tooling (e.g., Grafana).
• Provide operational support for Microsoft Entra ID (Azure AD) and related access controls (MFA, conditional access as applicable), collaborating with Security/Network teams on patterns and guardrails.
• Support compliance readiness (e.g., SOC-aligned controls) through standards, evidence-friendly configuration, and disciplined change practices.
• Provide secondary operational support and troubleshooting for the data platform, including Snowflake, Microsoft SQL Server, and PostgreSQL, partnering with Data Engineering/DBA teams as needed.
• Own cloud cost optimization activities: tagging standards, cost allocation visibility, budget alerts, cost anomaly investigation, and continuous cost/performance tuning.
• Support Azure-hosted AI workloads and Microsoft Foundry services (including AKS-hosted bots/agents) with a focus on secure access controls, secrets management, observability, and guardrails.
• Contribute to AI-assisted engineering workflows

Qualifications

• Strong hands-on Azure experience across foundational services (compute, storage, networking constructs, App Service/managed services where applicable).
• AKS / Kubernetes operational experience, including cluster administration concepts (upgrades, scaling, reliability).
• Infrastructure as Code: Terraform experience (modules/patterns); familiarity with Bicep is a plus.
• Scripting/automation with PowerShell and/or Python.
• Moderate experience with monitoring and troubleshooting with Azure Monitor and Log Analytics; familiarity with OpenTelemetry concepts preferred.
• Demonstrated ability to write clear documentation/runbooks and communicate effectively across teams.
• Bachelor’s degree in IT or a related technical field (or equivalent experience).
• Azure certifications valued: Azure Administrator Associate; Azure Solutions Architect preferred.